Sherwood William Erik, Harris-Warrick Ronald, Guckenheimer John
Center for BioDynamics, Boston University, 111 Cummington Street, Boston, MA 02215, USA.
J Comput Neurosci. 2011 Apr;30(2):323-60. doi: 10.1007/s10827-010-0259-y. Epub 2010 Jul 20.
Establishing, maintaining, and modifying the phase relationships between extensor and flexor muscle groups is essential for central pattern generators in the spinal cord to coordinate the hindlimbs well enough to produce the basic walking rhythm. This paper investigates a simplified computational model for the spinal hindlimb central pattern generator (CPG) that is abstracted from experimental data from the rodent spinal cord. This model produces locomotor-like activity with appropriate phase relationships in which right and left muscle groups alternate while extensor and flexor muscle groups alternate. Convergence to this locomotor pattern is slow, however, and the range of parameter values for which the model produces appropriate output is relatively narrow. We examine these aspects of the model's coordination of left-right activity through investigation of successively more complicated subnetworks, focusing on the role of the synaptic architecture in shaping motoneuron phasing. We find unexpected sensitivity in the phase response properties of individual neurons in response to stimulation and a need for high levels of both inhibition and excitation to achieve the walking rhythm. In the absence of cross-cord excitation, equal levels of ipsilateral and contralateral inhibition result in a strong preference for hopping over walking. Inhibition alone can produce the walking rhythm, but contralateral inhibition must be much stronger than ipsilateral inhibition. Cross-cord excitatory connections significantly enhance convergence to the walking rhythm, which is achieved most rapidly with strong crossed excitation and greater contralateral than ipsilateral inhibition. We discuss the implications of these results for CPG architectures based on unit burst generators.
建立、维持和改变伸肌与屈肌肌群之间的相位关系,对于脊髓中的中枢模式发生器协调后肢以产生基本行走节奏至关重要。本文研究了一种简化的脊髓后肢中枢模式发生器(CPG)计算模型,该模型是从啮齿动物脊髓的实验数据中抽象出来的。该模型产生具有适当相位关系的类似运动的活动,其中左右肌群交替,伸肌和屈肌肌群也交替。然而,收敛到这种运动模式的速度很慢,并且模型产生适当输出的参数值范围相对较窄。我们通过研究越来越复杂的子网络来考察该模型对左右活动的协调这些方面,重点关注突触结构在塑造运动神经元相位中的作用。我们发现单个神经元在响应刺激时的相位响应特性存在意外的敏感性,并且需要高水平的抑制和兴奋来实现行走节奏。在没有交叉脊髓兴奋的情况下,同侧和对侧抑制的同等水平会导致强烈倾向于跳跃而非行走。仅抑制就能产生行走节奏,但对侧抑制必须比同侧抑制强得多。交叉脊髓兴奋性连接显著增强了向行走节奏的收敛,在强交叉兴奋以及对侧抑制大于同侧抑制的情况下能最快速地实现。我们讨论了这些结果对基于单位爆发发生器的CPG架构的意义。